Data visualization
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DataViz
The art of data visualization
Data journalism
The need of data visualization
If you’ve spent any amount time watching your Facebook or Twitter feed stream by, it should be obvious that the world is creating a lot of data. But because all that data is really just a collection of ones and zeros it can be hard to actually visualize how much is really there. Sure, we can put a number on it, like 1.8 zettabytes being created and replicated (as in copied to DVDs and shared in the cloud) this year alone — a number that doubles every two years, according to a recent study by IDC and EMC .
How Much Data Will Humans Create & Store This Year? [INFOGRAPHIC]
Data science
We've all heard it: according to Hal Varian, statistics is the next sexy job . Five years ago, in What is Web 2.0 , Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data?
The Greatest Challenge Facing IT
Ultimately, information systems are about saving time. One could argue that technology enables analysis that facilitates competitive differentiation or improved product quality, but the fact of the matter is that these things and others could all be done without computers; they would just take much, much longer. A lot has been said and written about information overload.Whoa. What did I just read? I think most of you know of Freakonomics, but in case you don't, it started as a book in 2005, by economist Steven Levitt and journalist Stephen Dubner. The book examines corners of life (like cheating in sumo) through data. It's a good read.
FlowingData
What is Data Visualization? - information aesthetics
What is Data Visualization? How can it be explained through a visual diagram? Can data visualization be... visualized? David McCandless answered this recursive issue on his impressive blog Information is Beautiful already a while ago, with a 4-layered vendiagram graph that combines the concepts of "Interestingness", "Function", "Form" and "Integrity". More recently, FFunction attempted to simplify the depiction of data visualization further by proposing a classic 3-layered vendiagram that mash the areas: "Information" , "Design" and "Communication", with its many intermediate steps.Local data visualization
Remote data visualization
data visualisation
Analyse et visualisation de données
Data Viz